Name
Abstract | ||
|---|---|---|
Compressive sensing (CS) shows that a sparse or compressible signal can be exactly recovered from its linear measurements at a rate significantly lower than the Nyquist rate. As an extreme case, 1-bit compressive sensing (1-bit CS) states that an original sparse signal can be recovered from the 1-bit measurements. In this paper, we intrduce a Fast and Accurate Two-Stage (FATS) algorithm for 1-bit compressive sensing. Simulations show that FATS not only significantly increases the signal reconstruction speed but also improves the reconstruction accuracy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1587/transinf.E96.D.120 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
compressive sensing, 1-bit compressive sensing, FATS | Computer vision,Pattern recognition,Computer science,Artificial intelligence,Compressed sensing | Journal |
Volume | Issue | ISSN |
E96D | 1 | 1745-1361 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
5 | ||